Error Source Analysis of Target Localization Based on Weighted Linear Least Squares in Wireless Acoustic Sensor Network

Abstract

Each sensor node in wireless sensor network (WSN) uses only a single microphone instead of microphone arrays as its sensing device, which can guarantee the most important characteristics of WSN, such as small size, low power consumption and convenient deployment. In this paper, weighted linear least squares method (WLLS) was proposed to realize target localization. By dividing the localization equations and introducing new parameters, the localization problem is linearized and computational complexity is reduced. Then the most influencing factors on localization accuracy were analyzed, including the source position, background noise, sensing range, attenuation coefficient and node location error, which will provide an effective instruction on WASN design and nodes selection.